Power collection based adaptive length equalizer

ABSTRACT

A baseband processing module of a Radio Frequency receiver produces time domain equalizer coefficients and calculates a power threshold based upon a total power of a plurality of taps of the time domain equalizer coefficients. The baseband processing module then performs a plurality of iterations, during each of which it identifies at least one minimum power tap and determines a total power figure based upon zeroing the at least one minimum power tap. When the total power figure compares favorably to the power threshold, the baseband processing module modifies the plurality of taps by zeroing the at least one minimum power tap and continuing iterating. When the total power figure compares unfavorably to the power threshold, the baseband processing module ceases iterating without modifying the plurality of taps by zeroing the at least one minimum power tap and then produces modified time domain equalizer coefficients.

CROSS REFERENCES TO RELATED APPLICATIONS

The present application is a continuation-in-part of Utility Application Ser. No. 11/524,584 filed on Sep. 21, 2006, and entitled “FREQUENCY DOMAIN EQUALIZER FOR DUAL ANTENNA RADIO,” (BP5477), which is incorporated herein by reference in its entirety for all purposes.

BACKGROUND

1. Technical Field

The present invention relates generally to wireless communication systems; and more particularly to the equalization of data communications by a wireless radio in a wireless communication system.

2. Related Art

Cellular wireless communication systems support wireless communication services in many populated areas of the world. Cellular wireless communication systems include a “network infrastructure” that wirelessly communicates with wireless terminals within a respective service coverage area. The network infrastructure typically includes a plurality of base stations dispersed throughout the service coverage area, each of which supports wireless communications within a respective cell (or set of sectors). The base stations couple to base station controllers (BSCs), with each BSC serving a plurality of base stations. Each BSC couples to a mobile switching center (MSC). Each BSC also typically directly or indirectly couples to the Internet.

In operation, each base station communicates with a plurality of wireless terminals operating in its serviced cell/sectors. A BSC coupled to the base station routes voice communications between the MSC and the serving base station. The MSC routes the voice communication to another MSC or to the PSTN. BSCs route data communications between a servicing base station and a packet data network that may include or couple to the Internet. Transmissions from base stations to wireless terminals are referred to as “forward link” transmissions while transmissions from wireless terminals to base stations are referred to as “reverse link” transmissions. The volume of data transmitted on the forward link typically exceeds the volume of data transmitted on the reverse link. Such is the case because data users typically issue commands to request data from data sources, e.g., web servers, and the web servers provide the data to the wireless terminals.

Wireless links between base stations and their serviced wireless terminals typically operate according to one (or more) of a plurality of operating standards. These operating standards define the manner in which the wireless link may be allocated, setup, serviced, and torn down. Popular currently employed cellular standards include the Global System for Mobile telecommunications (GSM) standards, the North American Code Division Multiple Access (CDMA) standards, and the North American Time Division Multiple Access (TDMA) standards, among others. These operating standards support both voice communications and data communications. More recently introduced operating standards include the Universal Mobile Telecommunications Services (UMTS)/Wideband CDMA (WCDMA) standards. The UMTS/WCDMA standards employ CDMA principles and support high throughput, both voice and data.

The wireless link between a base station and a serviced wireless terminal is referred to as a “channel.” The channel distorts and adds noise to wireless transmissions serviced by the channel. “Channel equalization” is a process employed by a wireless receiver, e.g., wireless terminal, in an attempt to obviate the effects of the channel. While channel equalization is certainly helpful in obviating the effects of the channel, the characteristics of the channel are constantly changing. Thus, coefficients of a channel equalizer must be continually updated. However, generating coefficients of the channel equalizer is a difficult and time consuming process. Further, equalizer coefficients determined may not be well matched for current channel conditions due to a fixed length of the equalizer and of the changing channel conditions. Thus, a need exists for an improved methodology for determining equalizer coefficients.

BRIEF SUMMARY OF THE INVENTION

The present invention is directed to apparatus and methods of operation that are further described in the following Brief Description of the Drawings, the Detailed Description of the Invention, and the claims. Other features and advantages of the present invention will become apparent from the following detailed description of the invention made with reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a system diagram illustrating a portion of a cellular wireless communication system that supports wireless terminals operating according to the present invention;

FIG. 2 is a block diagram functionally illustrating a wireless terminal constructed according to the present invention;

FIG. 3 is a block diagram illustrating a multiple Radio Frequency (RF) front end (receiver/transmitter) radio constructed according to an embodiment of the present invention;

FIG. 4 is a block diagram illustrating components of a baseband processing module according to embodiments of the present invention;

FIG. 5 is a block diagram illustrating equalization components of a baseband processing module according to a first embodiment of the present invention;

FIG. 6 is a block diagram illustrating equalization components of a baseband processing module according to a first embodiment of the present invention;

FIG. 7 is a flow chart illustrating equalization operations according to an embodiment of the present invention;

FIG. 8 is a flow chart illustrating equalization operations according to an embodiment of the present invention;

FIG. 9 is a flow chart illustrating operations according to embodiments of the present invention for producing equalizer coefficients;

FIG. 10 is a flow chart illustrating operations according to other embodiments of the present invention for producing equalizer coefficients;

FIG. 11A is a block diagram illustrating a linear equalizer that operates using equalizer coefficients produced according to embodiments of the present invention;

FIG. 11B is a block diagram illustrating a decision feedback equalizer that operates using equalizer coefficients produced according to embodiments of the present invention; and

FIG. 12 is graph illustrating equalizer coefficients produced according to one or more embodiments of the present invention.

DETAILED DESCRIPTION OF THE DRAWINGS

FIG. 1 is a system diagram illustrating a portion of a cellular wireless communication system 100 that supports wireless terminals operating according to the present invention. The cellular wireless communication system 100 includes a Public Switched Telephone Network (PSTN) Interface 101, e.g., Mobile Switching Center, a wireless network packet data network 102 that includes GPRS Support Nodes, EDGE Support Nodes, WCDMA Support Nodes, and other components, Radio Network Controllers/Base Station Controllers (RNC/BSCs) 152 and 154, and base stations/node Bs 103, 104, 105, and 106. The wireless network packet data network 102 couples to additional private and public packet data networks 114, e.g., the Internet, WANs, LANs, etc. A conventional voice terminal 121 couples to the PSTN 110. A Voice over Internet Protocol (VoIP) terminal 123 and a personal computer 125 couple to the Internet/WAN 114. The PSTN Interface 101 couples to the PSTN 110. Of course, this particular structure may vary from system to system.

Each of the base stations/node Bs 103-106 services a cell/set of sectors within which it supports wireless communications. Wireless links that include both forward link components and reverse link components support wireless communications between the base stations and their serviced wireless terminals. These wireless links support digital data communications, VoIP communications, and digital multimedia communications. The cellular wireless communication system 100 may also be backward compatible in supporting analog operations as well. The cellular wireless communication system 100 supports one or more of the UMTS/WCDMA standards, the Global System for Mobile telecommunications (GSM) standards, the GSM General Packet Radio Service (GPRS) extension to GSM, the Enhanced Data rates for GSM (or Global) Evolution (EDGE) standards, one or more Wideband Code Division Multiple Access (WCDMA) standards, and/or various other CDMA standards, TDMA standards and/or FDMA standards, etc.

Wireless terminals 116, 118, 120, 122, 124, 126, 128, and 130 couple to the cellular wireless communication system 100 via wireless links with the base stations/node Bs 103-106. As illustrated, wireless terminals may include cellular telephones 116 and 118, laptop computers 120 and 122, desktop computers 124 and 126, and data terminals 128 and 130. However, the cellular wireless communication system 100 supports communications with other types of wireless terminals as well. As is generally known, devices such as laptop computers 120 and 122, desktop computers 124 and 126, data terminals 128 and 130, and cellular telephones 116 and 118, are enabled to “surf” the Internet (packet data network) 114, transmit and receive data communications such as email, transmit and receive files, and to perform other data operations. Many of these data operations have significant download data-rate requirements while the upload data-rate requirements are not as severe. Some or all of the wireless terminals 116-130 are therefore enabled to support the EDGE operating standard, the GPRS standard, the UMTS/WCDMA standards, the HSDPA standards, the WCDMA standards, and/or the GSM standards.

Each of these wireless terminals 116, 118, 120, 122, 124, 126, 128, and 130 includes RF front ends and baseband processing modules. This structure will be described further with reference to FIGS. 2-4. Each of the baseband processing modules of these devices performs equalization operations according to the various embodiments of the present invention, which are described further herein with reference to FIGS. 5-13.

FIG. 2 is a block diagram functionally illustrating a wireless terminal constructed according to the present invention. The wireless terminal includes host processing components 202 and an associated radio 204. For cellular telephones, the host processing components and the radio 204 are contained within a single housing. In some cellular telephones, the host processing components 202 and some or all of the components of the radio 204 are formed on a single Integrated Circuit (IC). For personal digital assistants hosts, laptop hosts, and/or personal computer hosts, the radio 204 may reside within an expansion card or upon a mother board and, therefore, be housed separately from the host processing components 202. The host processing components 202 include at least a processing module 206, memory 208, radio interface 210, an input interface 212, and an output interface 214. The processing module 206 and memory 208 execute instructions to support host terminal functions. For example, for a cellular telephone host device, the processing module 206 performs user interface operations and executes host software programs among other operations.

The radio interface 210 allows data to be received from and sent to the radio 204. For data received from the radio 204 (e.g., inbound data), the radio interface 210 provides the data to the processing module 206 for further processing and/or routing to the output interface 214. The output interface 214 provides connectivity to an output display device such as a display, monitor, speakers, et cetera such that the received data may be displayed. The radio interface 210 also provides data from the processing module 206 to the radio 204. The processing module 206 may receive the outbound data from an input device such as a keyboard, keypad, microphone, et cetera via the input interface 212 or generate the data itself. For data received via the input interface 212, the processing module 206 may perform a corresponding host function on the data and/or route it to the radio 204 via the radio interface 210.

Radio 204 includes a host interface 220, baseband processing module 222 (baseband processor) 222, analog-to-digital converter 224, filtering/gain module 226, down conversion module 228, low noise amplifier 230, local oscillation module 232, memory 234, digital-to-analog converter 236, filtering/gain module 238, up-conversion module 240, power amplifier 242, RX filter module 264, TX filter module 258, TX/RX switch module 260, and antenna 248. Antenna 248 may be a single antenna that is shared by transmit and receive paths (half-duplex) or may include separate antennas for the transmit path and receive path (full-duplex). The antenna implementation will depend on the particular standard to which the wireless communication device is compliant.

The baseband processing module 222 in combination with operational instructions stored in memory 234, execute digital receiver functions and digital transmitter functions. The digital receiver functions include, but are not limited to, digital intermediate frequency to baseband conversion, demodulation, constellation demapping, descrambling, and/or decoding,. The digital transmitter functions include, but are not limited to, encoding, scrambling, constellation mapping, modulation, and/or digital baseband to IF conversion. The transmit and receive functions provided by the baseband processing module 222 may be implemented using shared processing devices and/or individual processing devices. Processing devices may include microprocessors, micro-controllers, digital signal processors, microcomputers, central processing units, field programmable gate arrays, programmable logic devices, state machines, logic circuitry, analog circuitry, digital circuitry, and/or any device that manipulates signals (analog and/or digital) based on operational instructions. The memory 234 may be a single memory device or a plurality of memory devices. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, and/or any device that stores digital information. Note that when the baseband processing module 222 implements one or more of its functions via a state machine, analog circuitry, digital circuitry, and/or logic circuitry, the memory storing the corresponding operational instructions is embedded with the circuitry comprising the state machine, analog circuitry, digital circuitry, and/or logic circuitry.

In operation, the radio 204 receives outbound data 250 from the host processing components via the host interface 220. The host interface 220 routes the outbound data 250 to the baseband processing module 222, which processes the outbound data 250 in accordance with a particular wireless communication standard (e.g., UMTS/WCDMA, GSM, GPRS, EDGE, et cetera) to produce digital transmission formatted data 252. The digital transmission formatted data 252 is a digital base-band signal or a digital low IF signal, where the low IF will be in the frequency range of zero to a few kilohertz/megahertz.

The digital-to-analog converter 236 converts the digital transmission formatted data 252 from the digital domain to the analog domain. The filtering/gain module 238 filters and/or adjusts the gain of the analog signal prior to providing it to the up-conversion module 240. The up-conversion module 240 directly converts the analog baseband or low IF signal into an RF signal based on a transmitter local oscillation 254 provided by local oscillation module 232. The power amplifier 242 amplifies the RF signal to produce outbound RF signal 256, which is filtered by the TX filter module 258. The TX/RX switch module 260 receives the amplified and filtered RF signal from the TX filter module 258 and provides the output RF signal 256 signal to the antenna 248, which transmits the outbound RF signal 256 to a targeted device such as a base station 103-106.

The radio 204 also receives an inbound RF signal 262, which was transmitted by a base station via the antenna 248, the TX/RX switch module 260, and the RX filter module 264. The low noise amplifier 230 receives inbound RF signal 262 and amplifies the inbound RF signal 262 to produce an amplified inbound RF signal. The low noise amplifier 230 provides the amplified inbound RF signal to the down conversion module 228, which converts the amplified inbound RF signal into an inbound low IF signal or baseband signal based on a receiver local oscillation 266 provided by local oscillation module 232. The down conversion module 228 provides the inbound low IF signal (or baseband signal) to the filtering/gain module 226, which filters and/or adjusts the gain of the signal before providing it to the analog to digital converter 224. The analog-to-digital converter 224 converts the filtered inbound low IF signal (or baseband signal) from the analog domain to the digital domain to produce digital reception formatted data 268. The baseband processing module 222 demodulates, demaps, descrambles, and/or decodes the digital reception formatted data 268 to recapture inbound data 270 in accordance with the particular wireless communication standard being implemented by radio 204. The host interface 220 provides the recaptured inbound data 270 to the host processing components 202 via the radio interface 210.

As the reader will appreciate, all components of the radio 204, including the baseband processing module 222 and the RF front end components may be formed on a single integrated circuit. In another construct, the baseband processing module 222 and the RF front end components of the radio 204 may be formed on separate integrated circuits. The radio 204 may be formed on a single integrated circuit along with the host processing components 202. In still other embodiments, the baseband processing module 222 and the host processing components 202 may be formed on separate integrated circuits. Thus, all components of FIG. 2 excluding the antenna, display, speakers, et cetera and keyboard, keypad, microphone, et cetera may be formed on a single integrated circuit. Many differing constructs integrated circuit constructs are possible without departing from the teachings of the present invention. According to the present invention, the baseband processing module 222 equalizes the digital transmission formatted data (baseband TX signal) 252 in a novel manner. Various techniques for performing these equalization operations will be described further herein with reference to FIGS. 3-13.

FIG. 3 is a block diagram illustrating a multiple Radio Frequency (RF) front end (receiver/transmitter) radio 300 constructed according to an embodiment of the present invention. The radio 300 includes a baseband processing module 222 and a plurality of RF front ends, including RF front end 1 302, RF front end 2 304, RF front end 3 306, and RF front end N 308. These RF front ends 302, 304, 306, and 308 are serviced by antennas 310, 312, 318, and 316, respectively. The radio 300 may service a plurality of diversity paths of a single transmitted signal. Thus, in one simple embodiment of a diversity path implementation, the radio 300 includes a first RF front end 302, a second RF front end 304, and the baseband processing module 222. This embodiment will be described further with reference to FIG. 5. Alternately, the plurality of RF front ends 302-308 may service Multiple Input Multiple Output (MIMO) communications, each RF front end 302-308 assigned a respective MIMO data path. MIMO communications are currently implemented in WLAN implementations such as IEEE 802.11n. In either case, the principles of the present invention may be applied to a radio 300 having two or more RF front ends.

FIG. 4 is a block diagram illustrating components of a baseband processing module 222 according to an embodiment of the present invention. The baseband processing module (baseband processor) 222 includes a processor 402, a memory interface 404, onboard memory 406, a downlink/uplink interface 408, TX processing components 410, and a TX interface 412. The baseband processing module 222 further includes an RX interface 414, a cell searcher module 416, a multi-path scanner module 418, a rake receiver combiner 420, and a turbo decoding module 422. The baseband processing module 222 couples in some embodiments to external memory 234. However, in other embodiments, memory 406 fulfills the memory requirements of the baseband processing module 402.

As was previously described with reference to FIG. 2, the baseband processing module receives outbound data 250 from coupled host processing components 202 and provides inbound data 270 to the coupled host processing components 202. Further, the baseband processing module 222 provides digital formatted transmission data (baseband TX signal) 252 to a coupled RF front end. The baseband processing module 222 receives digital reception formatted data (baseband RX signal) 268 from the coupled RF front end. As was previously described with reference to FIG. 2, an ADC 222 produces the digital reception formatted data (baseband RX data) 268 while the DAC 236 of the RF front end receives the digital transmission formatted data (baseband TX signal) 252 from the baseband processing module 222.

According to the particular embodiment of the present invention illustrated in FIG. 4, the downlink/uplink interface 408 is operable to receive the outbound data 250 from coupled host processing components, e.g., the host processing component 202 via host interface 220. Further, the downlink/uplink interface 408 is operable to provide inbound data 270 to the coupled host processing components 202 via the host interface 220. TX processing component 410 and TX interface 412 communicatively couple to the RF front end as illustrated in FIG. 2 and to the downlink/uplink interface 408. The TX processing components 410 and TX interface 412 are operable to receive the outbound data from the downlink/uplink interface 404, to process the outbound data to produce the baseband TX signal 252 and to output the baseband TX signal 252 to the RF front end as was described with reference to FIG. 2. RX processing components including the RX interface 414, rake receiver combiner 420 and in some cases the processor 402 are operable to receive the RX baseband signal 268 from the RF front end.

Equalization processing operations implemented in an RF receiver according to the present invention may be implemented by one or more of the components of the baseband processing module 222. In a first construct, the equalization operations are implemented as equalization operations 415 a by processor 402. The equalization operations 415 a may be implemented in software, hardware, or a combination of software and hardware. When the equalization operations 415 a are implemented by software instructions, the processor 402 retrieves instructions via memory interface 404 and executes such software instructions to implement the equalization operations 415 a.

In another construct, a dedicated equalization block 415 b resides between the RX interface 414 and modules 416, 418, and 420 and performs the equalization operations of the present invention. With this construct, the equalization operations 415 b may be implemented via hardware, software, or a combination of hardware and software. In another construct of the equalization operations according to the present invention, the equalization operations 415 c are performed within rake receiver combiner module 420 by equalization operations 415 c. The equalization operations 415 c may be implemented via hardware, software, or a combination of these to execute the equalization operations of the present invention. These equalization operations performed according to the various embodiments of the present invention, which are described further herein with reference to FIGS. 5-12.

As is further shown in FIG. 4, the digital reception formatted data 268 may include a plurality of signal paths. Each one of these signal paths may be received from a respective RF front end such as was illustrated in FIG. 3 and described there with. Thus, each of the digital reception formatted data versions 268 may be a different multi-path version of a single received signal or different RF signal such as in a MIMO system.

FIG. 5 is a block diagram illustrating equalization components of a baseband processing module according to a first embodiment of the present invention. These components of the baseband processing module 222 perform equalization operations according to the present invention. Of course, a baseband processing module 222 would include additional components in addition to as those illustrated in FIG. 5. The functional blocks of FIG. 5 may be implemented in dedicated hardware, general purpose hardware, software, or a combination of dedicated hardware, general purpose hardware, and software.

The components of the baseband processing module 222 of FIG. 5 include first diversity path components, second diversity path components, and shared components. As was described with reference to FIG. 3, an RF transceiver (transmitter/receiver), may include a plurality of receive signal paths. The plurality of receive signal paths may include components that operate upon different multi-path versions of a single transmitted signal or upon signals that include different data. According to the embodiment of FIG. 5, the functional components operate upon different multi-path versions of a single RF transmitted time domain signal.

The first diversity path component includes a cluster path processor/channel estimation block 504, a Fast Fourier Transform (FFT) block 506, multiplier 512, Inverse Fast Fourier Transform (IFFT) block 514, tap ordering block 516, and time domain equalizer 518. The second diversity path components include cluster path processing/channel estimation block 524, FFT block 526, multiplier 530, IFFT block 532, tap ordering block 534, and time domain equalizer 536. The shared processing blocks of the RF receiver of FIG. 5 include a Minimum Mean Square Error (MMSE) weight calculation block 510, a noise variance estimation block 502, and a combiner 538.

In its operations, the first diversity path operates upon a first time domain signal 502. The first time domain signal 502 includes first time domain training symbols and first time domain data symbols. As is generally known, frames of transmitted symbols in an RF system typically include a preamble that has training symbols and a payload portion that carries data symbols. The training symbols are used by channel estimation operations to produce equalizer coefficients that are then used for equalization of the data symbols. The CPP/channel estimation block 504 is operable to process the first time domain training symbols of the first time domain signal 502 to produce a first time domain channel estimate 508. The FFT block 506 is operable to convert the first time domain channel estimate to the frequency domain to produce a first frequency domain channel estimate 508.

Likewise, the second diversity path is operable to receive a second time domain signal 522 that includes second time domain training symbols and second time domain data symbols. The CPP/channel estimation block 524 is operable to process the second time domain training symbols to produce a second time domain channel estimate. The FFT block 526 is operable to convert the second time domain channel estimate to the frequency domain to produce a second frequency domain channel estimate 528.

The MMSE/weight calculation block 510 is operable to receive noise variance estimation parameters from noise variance estimation block 502 and to produce first frequency domain equalizer coefficients 511 and second frequency domain equalizer coefficients 513 based upon the first frequency domain channel estimate 508 and the second frequency domain channel estimate 528.

Referring again to the first diversity path, the multiplier 512 is operable to multiply an output of FFT block 506 with the first frequency domain equalizer coefficients 511. However, in another embodiment, the multiplier 518 simply passes through the first frequency domain equalizer coefficients 511. Then, the IFFT block 514 is operable to convert the first frequency domain equalizer coefficients 511, as operated upon by multiplier 512, to the time domain to produce first time domain equalizer coefficients. Next, the tap ordering block 516 is operable to order the first time domain equalizer coefficients to produce tap ordered time domain equalizer coefficients to the time domain equalizer 518. Time domain equalizer 518 is operable to equalize the first time domain data symbols using the first time domain equalizer coefficients received from tap ordering block 516.

Referring again to the second diversity path, the multiplier 530 is operable to multiply the second frequency domain equalizer coefficients 513 with an output received from FFT block 526. In another embodiment, the multiplier block 530 is operable to simply pass through the second frequency domain equalizer coefficients 513. The IFFT block 532 is operable to convert its input from the frequency domain to the time domain to produce second time domain equalizer coefficients. The tap ordering block 534 is operable to tap order the second time domain equalizer coefficients to produce an output of time domain equalizer. The time domain equalizer 536 is operable to equalize the second time data symbols using the second time domain equalizer coefficients. Finally, combiner 538 is operable to combine the equalized first time domain data symbols received from the first time domain equalizer 518 and the second equalized time domain data symbols received from time domain equalizer 536 to produce a composite time domain data symbols 540.

According to another aspect of the baseband processing module 222 of FIG. 5, the CPP/channel estimation block 504 is operable to cluster path process the first time domain training signals of the first time domain signal 502. Cluster path processing (CPP) is an operation that processes multi-path signal components that are relatively close to one another in time. A complete description of how cluster path processing is performed is described in co-pending patent application Ser. No. 11/173,854 filed Jun. 30, 2005 and entitled METHOD AND SYSTEM FOR MANAGING, CONTROLLING, AND COMBINING SIGNALS IN A FREQUENCY SELECTIVE MULTIPATH FADING CHANNEL, which is incorporated herein by reference in its entirety. With the cluster path processing operations completed, the CPP/channel estimation block 504 is operable to produce the first time domain channel estimate based upon cluster path processed first time domain training symbols. Further, with the second diversity path, the CPP/channel estimation block 522 may be operable to cluster path process the second time domain training symbols of the second time domain signal 522. Then, the CPP/channel estimation block 524 is operable to produce the second time domain channel estimate based upon the cluster path process second time domain training symbols.

In its operations, the MMSE weight calculation block 510 is operable to perform a MMSE algorithm on the first frequency domain equalizer coefficients 508 and the second frequency domain equalizer coefficients 528 to produce the first frequency domain equalizer coefficients 511 and the second frequency domain equalizer coefficients 513. One implementation of these operations is described below. Other operations may be used to generate equalizer coefficients according to the present invention that differ from those described below.

With the particular implementation described herein, in the time domain, a matrix signal model at each antenna servicing the dual diversity path structure of FIG. 5 may be characterized as:

y _(i) =H _(i) x+n _(i) i=1,2   (Eq. 1)

The channel matrix H_(i) can be modeled as a circulant matrix which satisfies

H ₁ =F ⁻¹ΛA₁ F; H ₂ =F ⁻¹Λ₂ F   (Eq. 2)

where F is the orthogonal discrete Fourier transform matrix.

By multiplying by matrix F at both sides of the Eq. (1), a frequency domain channel model is represented as:

Y _(i) =Fy _(i)=Λ^(i) X+N _(i)   (Eq. 3)

where X=Fx;N_(i)=Fn_(i) i=1,2

The channel model may be considered at the k-th subcarrier in the frequency domain as:

Y[k]=Λ _(k) X[k]+N[k]  (Eq. 4)

where

$\begin{matrix} {{{Y\left\{ k \right\rbrack} = \begin{bmatrix} {Y_{1}\lbrack k\rbrack} \\ {Y_{2}\lbrack k\rbrack} \end{bmatrix}},{\Lambda_{k} = {{\begin{bmatrix} \Lambda_{k}^{1} \\ \Lambda_{k}^{2} \end{bmatrix}\mspace{14mu} {and}\mspace{14mu} {N\lbrack k\rbrack}} = \begin{bmatrix} {N_{1}\lbrack k\rbrack} \\ {N_{2}\lbrack k\rbrack} \end{bmatrix}}}} & \left( {{Eq}.\mspace{14mu} 5} \right) \end{matrix}$

are 2×1 vectors.

The MMSE optimum weight at the k-th subcarrier is therefore represented by:

$\begin{matrix} {{C\lbrack k\rbrack} = {{{E\left( {{Y\lbrack k\rbrack}^{*}{Y\lbrack k\rbrack}^{T}} \right)}^{- 1}{E\left( {{Y\lbrack k\rbrack}^{*}X} \right)}} = {\left( {{\Lambda_{k}^{*}\Lambda_{k}^{T}} + C_{nn}} \right)^{- 1}\Lambda_{k}}}} & \left( {{Eq}.\mspace{14mu} 6} \right) \end{matrix}$

Thus, the estimated transmitted signal is given as

$\begin{matrix} {{\overset{\Cap}{X}\lbrack k\rbrack} = {{{C\lbrack k\rbrack}^{H}{Y\lbrack k\rbrack}} = \frac{\underset{{ant}\; 1}{\left( \underset{\_}{n\; 1*\Lambda_{k}^{1^{*}}{Y_{1}\lbrack k\rbrack}} \right.} + \underset{{ant}\; 2}{\underset{\_}{n\; 2*\Lambda_{k}^{2^{*}}{Y_{2}\lbrack k\rbrack}}}}{{{\Lambda_{k}^{1}}^{2}n\; 2} + {{\Lambda_{k}^{2}}^{2}n\; 1n\; 2}}}} & {\left( {{Eq}.\mspace{11mu} 7} \right)\;} \end{matrix}$

After simplifying Eq (7), the MMSE-FDE weight(s) for dual diversity path configuration of FIG. 5 is given as:

$\begin{matrix} {{{C_{k}^{i} = \frac{\left( \frac{\sigma_{s}}{\sigma_{n}^{i}} \right)^{2}\Lambda_{k}^{i^{*}}}{1 + {\sum\limits_{l = 1}^{2}{\left( \frac{\sigma_{s}}{\sigma_{n}^{i}} \right)^{2}{\Lambda_{k}^{l}}^{2}}}}};{i = 1}},{{2\mspace{31mu} k} = 1},{2\mspace{11mu} \ldots \mspace{11mu} N}} & \left( {{Eq}.\mspace{14mu} 8} \right) \end{matrix}$

The time domain signal after Equalization is given by:

$\begin{matrix} \begin{matrix} {z = {F^{- 1}{CY}}} \\ {= {{\underset{FD\_ EQ1}{\underset{}{F^{- 1}C^{1}\Lambda_{1}{FH}_{1}}}x} + {\underset{FD\_ EQ2}{\underset{}{F^{- 1}C^{2}\Lambda_{2}{FH}_{2}}}x} + {F^{- 1}C^{1}N_{1}} + {F^{- 1}C^{2}N_{2}}}} \end{matrix} & \left( {{Eq}.\mspace{14mu} 9} \right) \\ \begin{matrix} {z = {F^{- 1}{CY}}} \\ {= {\underset{Proposed\_ EQ1}{\underset{}{{F^{- 1}\left( C^{1} \right)} \otimes y}} + \underset{Proposed\_ EQ2}{\underset{}{{F^{- 1}\left( C^{2} \right)} \otimes y}} + {F^{- 1}C^{1}N_{1}} + {F^{- 1}C^{2}N_{2}}}} \end{matrix} & \left( {{Eq}.\mspace{14mu} 10} \right) \end{matrix}$

FIG. 6 is a block diagram illustrating equalization components of a baseband processing module according to a first embodiment of the present invention. The components of the baseband processing module 222 are operable to receive a time domain signal 602 from an RF front end such as was illustrated in FIG. 2. The time domain signal 602 includes time domain training symbols and time domain data symbols. The components of FIG. 6 include channel estimation block 604, an FFT block 606, a weight calculator block 610, an IFFT block 614, a tap ordering block 616, and a time domain equalizer 618. The channel estimation block 604 is operable to process the time domain training symbols of the time domain signal 602 to produce a time domain channel estimate 603. The FFT block 606 is operable to convert the time domain channel estimate 603 to the frequency domain to produce a frequency domain channel estimate 608. The weight calculation block 610 is operable to produce frequency domain equalizer coefficients based upon the frequency domain channel estimate 608 and noise variation estimation received from noise variation estimation block 602. Multiplier 612 receives the frequency domain equalizer coefficient 611 and the receiving input from the FFT block 606. The multiplier 612 produces an output to IFFT block 614 that converts the frequency domain equalizer coefficient 61 1, as may have been modified by multiplier 612, to produce time domain equalizer coefficients. Tap ordering block 616 tap orders the time domain equalizer coefficients and produces the tap ordered time domain equalizer coefficients to time domain equalizer 616. The time domain equalizer 616 is operable to equalize the time domain data symbols of the time domain signal 602 using the time domain equalizer coefficients to produce equalized time domain symbols 640.

The channel estimation block 604 may also perform cluster path processing operations as were previously described with reference to FIG. 5. When performing cluster path processing operations to produce the time domain training symbols, the CPP/channel estimation block 604 may produce the time domain channel estimate based upon the cluster path processed time domain training symbols. The MMSE weight calculation block 610 may perform MMSE algorithm on the frequency domain equalizer coefficients to produce the frequency domain equalizer coefficients.

FIG. 7 is a flow chart illustrating equalization operations according to an embodiment of the present invention. The operation 700 commences with operations for each of at least two diversity paths (Step 702). As was previously described with reference to FIG. 3, a radio may include a plurality of RF front ends 302-308, each servicing a respective diversity path. Thus, referring again to FIG. 7, operations 704-708 are performed for each diversity path. In particular, for each diversity path, the baseband processing module receives a corresponding time domain signal that includes corresponding time domain training symbols and corresponding time domain data symbols.

With reference to a first diversity path, operation includes receiving a first time domain signal that includes first time domain training symbols and first time domain data symbols. Operation then includes processing the first time domain training symbols to produce a first time domain channel estimate (Step 706). Further, operation includes converting the time domain channel estimates to the frequency domains to produce a first frequency domain channel estimate (Step 708).

With respect to a second diversity path, operation includes receiving a second time domain signal that includes second time domain training symbols and second time domain data symbols (Step 704). Operation for the second diversity path further includes processing the second time domain training symbols to produce a second time domain channel estimate (Step 706). Further, operation includes converting the second time domain channel estimate to the frequency domain to produce a second frequency domain channel estimate (Step 708).

When the operations of Steps 702-708 have been completed for each diversity path, operation proceeds to Step 710 where frequency domain equalizer coefficients are produced for each of a plurality of diversity paths. For the particular example of the structure of FIG. 5 that includes two diversity paths, the operation at Step 710 includes producing first frequency domain equalizer coefficients and second frequency domain equalizer coefficients based upon the first frequency domain channel estimate and the second frequency domain channel estimate. Operation then includes converting the frequency domain equalizer coefficients to time domain equalizer coefficients (Step 712). For the particular case of a first and a second diversity path, the operation at Step 712 would include converting the first frequency domain equalizer coefficients to the time domain to produce first time domain equalizer coefficients and converting the second frequency domain equalizer coefficients to the time domain to produce second time domain equalizer coefficients.

Operation then includes, for each diversity path, time domain equalizing respective time domain data symbols (Step 714). For the particular case of a first and a second diversity path, the operations of Step 714 include equalizing the first time domain data symbols using the first time domain equalizer coefficients and equalizing the second time domain data symbols using the second time domain equalizer coefficients. Finally, operation includes combining the equalized time domain data symbols from a plurality of diversity paths (Step 716). For the particular case of the first and second diversity paths, the operation of Step 716 includes combining the equalized first time domain data symbols and the second equalized time domain data symbols to produce composite time domain data symbols.

The operations 702-716 are repeated each time new equalizer coefficients are produced based upon received physical layer frames that include training symbols. In many RF receivers, the operations 700 of FIG. 7 are repeated for each received physical layer frame. However, in other embodiments, channel estimation is performed periodically based upon detected changes of channel conditions or when a time constraint is met.

The operations at Step 706 may include cluster path processing as has been previously described. When cluster processing is performed, the time domain channel estimate include cluster path processed time domain training symbols. Fast Fourier transformations are employed in converting from the time domain to the frequency domain while Inverse Fast Fourier transformations are to employed to convert from the frequency domain to the time domain. The operations at Step 710 may include using an MMSE algorithm to produce the frequency domain equalizer coefficients based upon the channel estimates received. The operations of FIG. 7 may support various types of systems including cellular wireless communication systems, wireless metropolitan area communication systems (such as the WiMAX) standards, WLAN communication operations, and WPAN communication operations.

FIG. 8 is a flow chart illustrating equalization operations according to an embodiment of the present invention. Operation 800 includes first receiving a time domain signal that includes time domain training symbols and time domain data symbols (Step 802). Operation continues with processing the time domain training symbols to produce a time domain channel estimate (Step 804). Operation continues with converting the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate (Step 806).

Operation further includes producing frequency domain equalizer coefficients based upon the frequency domain channel estimate produced at Step 806 (Step 808). Then, operation includes converting the frequency domain equalizer coefficients to the time domain to produce time domain equalizer coefficients (Step 810). Operation concludes with equalizing the time domain data symbols using the time domain equalizer coefficients produced at Step 810 (Step 812). From Step 812 operation ends. Of course, the operations 800 of FIG. 8 may be repeated for each received physical layer frame that includes training symbols and data symbols. The various specific implementations that were previously described with FIGS. I-7 may be employed with the operations 800 of FIG. 8 as well and will not be described herein further with respect to FIG. 8.

FIG. 9 is a flow chart illustrating operations according to embodiments of the present invention for producing equalizer coefficients. Operation 900 commences with the RF receiver, e.g., the baseband processing module of the RF receiver, receiving a plurality of time domain training symbols and processing the time domain training symbols to produce a time domain channel estimate. Then, the baseband processing module processes the time domain channel estimate to produce time domain equalizer coefficients (Step 902). The time domain equalizer coefficients have a plurality of taps. Each of these taps may correspond to an element of a particular finite impulse response (FIR) filter, an infinite impulse response (IIR) filter, or another digital filter structure that will perform the equalization upon data symbols. As will be described further herein with reference to FIGS. 11A and 11B, the time domain equalizer coefficients may correspond to various types of equalizer structures, for example linear equalizers and non-linear equalizers such as decision feedback equalizers.

Generally, as will be described further with reference to FIG. 12, the plurality of taps extend from a head end tap to a tail end tape, e.g., tap 0 to tap N. Generally, with the plurality of taps corresponding to a digital filter of an equalizer, tap 0 corresponds to a first filter element while tap N corresponds to a last filer element. Generally, a head end tap corresponds to an earlier operation upon received data symbols while a tail tap corresponds to a later operation upon the data symbols. This concept and related operations are generally known and are not described further herein except as they relate to the present invention.

After the baseband processing module has produced the time domain equalizer coefficients, the baseband processing module calculates a power threshold (Step 904). Calculating the power threshold may include first calculating a total power of all of the plurality of taps of the time domain equalizer coefficients. Then, the power threshold is determined as a percentage of the total power of the plurality of taps. In one particular example, the power threshold is 1% of the total power of the plurality of taps.

The operations 900 include zeroing some of the plurality of taps in an iterative process of Steps 906, 908, and 912. Thus, during a first operation of calculating a total power of taps (Step 906), each of the taps is in its original state as determined at Step 902. However, in a subsequent operation of Step 906, some of the plurality of taps has been zeroed. After the total power of the taps has been calculated at Step 906, operation includes identifying at least one minimum power tap (Step 908). Generally, the minimum power tap resides at a head of the plurality of taps or at the tail of plurality of taps. Then, operation includes determining a total power figure based upon a zeroing of the at least one minimum power tap. This total power figure is then compared to the power threshold that was determined at Step 904. When the total power figure compares favorably to the power threshold (as determined at Step 910), the plurality of taps are modifying by zeroing the at least one minimum power tap identified at Step 912. Then, operation returns to Step 906. When the total power figure compares unfavorably to the power threshold (as determined at Step 910), the iterations of Steps 906, 908, and 912 are ceased prior to execution of Step 912. Then, the baseband processing module outputs or produces the modified time domain equalizer coefficients having at least one tap zeroed (Step 914).

The operations 900 of FIG. 9 are performed to reduce the number of taps of the time domain equalizer coefficients. However, the taps that are zeroed make up a very small percentage, e.g., less than 1%, of the total power of the time domain equalizer coefficients as determined at Step 902. By reducing the number of taps that the baseband processing module uses to equalize data symbols, the complexity and mathematical workload of the equalization process is reduced. With the operations 900 of FIG. 9 completed, the modified time domain equalizer coefficients have a greater number of zero value taps than do the time domain equalizer coefficients originally determined at Step 902. These zero value taps require no mathematical operations by the equalization process performed by the baseband processing module.

As was previously described, the power threshold may be chosen as a small percentage, e.g., 1% of the total power of the time domain equalizer coefficients. With this threshold, the comparison performed at Step 910 may be performed in a number of differing ways. In one way, the power figure may consist of the total power of the non-zeroed taps. With this total power of the non-zeroed taps greater than or equal to 99% for example of the original power of the time domain equalizer coefficients, the integrity of the time domain equalizer coefficients is retained so that satisfactory equalization may be performed. Alternatively, the total power figure may represent the summation of the power of the tap that would be zeroed. Of course, the power of these taps would be considered prior to the zeroing and a summation of the power of these taps would be equal to or lesser than the power threshold, e.g., 99% of the original power of the time domain equalizer coefficients.

FIG. 10 is a flow chart illustrating operations according to other embodiments of the present invention for producing equalizer coefficients. Operation 1000 commences with producing time domain equalizer coefficients (Step 1002). These time domain equalizer coefficients include a plurality of taps as has been previously described herein with reference to FIG. 9. Operation 1000 continues with calculating a power threshold (Step 1004). Then, the iterative process of Steps 1006, 1008, and 1012 commences. Operation of the iterative process begins with identifying a minimum power head end tap and a minimum power tail end tap of the plurality of taps. Then, a minimum power tap of the identified minimum power head end tap and the identified minimum power tail end tap is selected for particular consideration. Then, the baseband processing module calculates a total power of all zeroed taps including the identified tap (Step 1008). Of course, this total power summation performed at Step 1008 considers the power of the taps prior to their zeroing.

Then, the total power figure determined at Step 1008 is compared to the power threshold (Step 1010). When the total power figure compares favorably to the power threshold, the identified minimum power head end/tail end tap is zeroed (Step 1012), and operation returns to Step 1006. However, when the total power figure compares unfavorably to the power threshold at Step 1010, operation 1000 ceases iterating without modifying the identified minimum power identified at Step 1006. Then, operation includes outputting the modified time domain equalizer coefficients for subsequent equalization operations (Step 1014). As was the case with the operations of FIG. 9, the power threshold may be a percentage of the total power of the plurality of taps that were determined at Step 1002. Further, the power threshold may consider the remaining non-zeroed taps or alternatively to the total power of zeroed taps described at Step 1008 of FIG. 10.

FIG. 11A is a block diagram illustrating a linear equalizer that operates using equalizer coefficients produced according to embodiments of the present invention. The equalizer of the present invention that uses equalizer coefficients produced according to the methods 900 of FIG. 9 and/or the method 1000 of FIG. 10 may be a linear equalizer 1102. This linear equalizer of course receives unequalized data symbols and produces equalized data symbols. The linear equalizer 1102 may be an FIR filter, an II filter, or another type of filter that operates upon digital information representing the unequalized data symbols from the time domain.

FIG. 11B is a block diagram illustrating a decision feedback equalizer that operates using equalizer coefficients produced according to embodiments of the present invention. A decision feedback equalizer 1150 (a non-linear equalizer) includes a feed forward equalizer 1152, a summation block 1154, a decision block 1156, and a feedback equalizer 1158. The feed forward equalizer 1152 receives unequalized data symbols and the decision block produces equalized data symbols. The equalizer coefficients produced for the feed forward equalizer 1152 and the feedback equalizer 1158 may each be produced according to the present invention. In such case, the complexity in the operations performed by the feed forward equalizer 1152 and the feedback equalizer 1158 may be reduced by zeroing some of the taps of these equalizers 1152 and 1158. Further, by reducing the length of the feed forward equalizer 1152, the delay of the decision feedback equalizer 1150 may be reduced.

FIG. 12 is graph illustrating equalizer coefficients produced according to one or more embodiments of the present invention. Operation according to the present invention is described with reference to a plurality of taps 1152 of a time domain equalizer coefficient. As is shown, the plurality of taps 1152 of the equalizer coefficients include, for example, thirty taps, tap 0 to 30, each of which has a particular power. Referring to the value of each of these taps as represented by the graph, the power of the taps varies according to the particular number of the tap 0 to 30. A head end tap is tap 0 and a tail end tap is tap 30. As is generally shown, the plurality of taps 1152 have a maximum at around the 14^(th) tap and a minimum at around the 12^(th) tap. Further, a plurality of head end taps 1154 have very small relative power. Further, a plurality of tail end taps 1156 have very small relative power. According to the present invention, a plurality of head end taps 1154 and a plurality of tail end taps 1156 are zeroed while a total power of the equalizer coefficients, as a summation of individual tap powers, retains a certain percentage of the original summation of tap power. In one example, as was previously described herein, this total tap power may be 99% of the original tap power after zeroing head end taps 1154 and tail end taps 1156.

The terms “circuit” and “circuitry” as used herein may refer to an independent circuit or to a portion of a multifunctional circuit that performs multiple underlying functions. For example, depending on the embodiment, processing circuitry may be implemented as a single chip processor or as a plurality of processing chips. Likewise, a first circuit and a second circuit may be combined in one embodiment into a single circuit or, in another embodiment, operate independently perhaps in separate chips. The term “chip”, as used herein, refers to an integrated circuit. Circuits and circuitry may comprise general or specific purpose hardware, or may comprise such hardware and associated software such as firmware or object code.

The present invention has also been described above with the aid of method steps illustrating the performance of specified functions and relationships thereof. The boundaries and sequence of these functional building blocks and method steps have been arbitrarily defined herein for convenience of description. Alternate boundaries and sequences can be defined so long as the specified functions and relationships are appropriately performed. Any such alternate boundaries or sequences are thus within the scope and spirit of the claimed invention.

The present invention has been described above with the aid of functional building blocks illustrating the performance of certain significant functions. The boundaries of these functional building blocks have been arbitrarily defined for convenience of description. Alternate boundaries could be defined as long as the certain significant functions are appropriately performed. Similarly, flow diagram blocks may also have been arbitrarily defined herein to illustrate certain significant functionality. To the extent used, the flow diagram block boundaries and sequence could have been defined otherwise and still perform the certain significant functionality. Such alternate definitions of both functional building blocks and flow diagram blocks and sequences are thus within the scope and spirit of the claimed invention. One of average skill in the art will also recognize that the functional building blocks, and other illustrative blocks, modules and components herein, can be implemented as illustrated or by discrete components, application specific integrated circuits, processors executing appropriate software and the like or any combination thereof.

As may be used herein, the terms “substantially” and “approximately” provides an industry-accepted tolerance for its corresponding term and/or relativity between items. Such an industry-accepted tolerance ranges from less than one percent to fifty percent and corresponds to, but is not limited to, component values, integrated circuit process variations, temperature variations, rise and fall times, and/or thermal noise. Such relativity between items ranges from a difference of a few percent to magnitude differences. As may also be used herein, the term(s) “coupled to” and/or “coupling” and/or includes direct coupling between items and/or indirect coupling between items via an intervening item (e.g., an item includes, but is not limited to, a component, an element, a circuit, and/or a module) where, for indirect coupling, the intervening item does not modify the information of a signal but may adjust its current level, voltage level, and/or power level. As may further be used herein, inferred coupling (i.e., where one element is coupled to another element by inference) includes direct and indirect coupling between two items in the same manner as “coupled to”. As may even further be used herein, the term “operable to” indicates that an item includes one or more of power connections, input(s), output(s), etc., to perform one or more its corresponding functions and may further include inferred coupling to one or more other items. As may still further be used herein, the term “associated with”, includes direct and/or indirect coupling of separate items and/or one item being embedded within another item. As may be used herein, the term “compares favorably”, indicates that a comparison between two or more items, signals, etc., provides a desired relationship. For example, when the desired relationship is that signal 1 has a greater magnitude than signal 2, a favorable comparison may be achieved when the magnitude of signal 1 is greater than that of signal 2 or when the magnitude of signal 2 is less than that of signal 1.

The present invention has also been described above with the aid of method steps illustrating the performance of specified functions and relationships thereof. The boundaries and sequence of these functional building blocks and method steps have been arbitrarily defined herein for convenience of description. Alternate boundaries and sequences can be defined so long as the specified functions and relationships are appropriately performed. Any such alternate boundaries or sequences are thus within the scope and spirit of the claimed invention.

Moreover, although described in detail for purposes of clarity and understanding by way of the aforementioned embodiments, the present invention is not limited to such embodiments. It will be obvious to one of average skill in the art that various changes and modifications may be practiced within the spirit and scope of the invention, as limited only by the scope of the appended claims. 

1. A method for producing equalizer coefficients in a Radio Frequency (RF) receiver comprising: receiving a plurality of time domain training symbols; processing the time domain training symbols to produce a time domain channel estimate; processing the time domain channel estimate to produce time domain equalizer coefficients having a plurality of taps; calculating a power threshold based upon a total power of the plurality of taps; for a plurality of iterations: identifying at least one minimum power tap; determining a total power figure based upon zeroing the at least one minimum power tap; when the total power figure compares favorably to the power threshold, modifying the plurality of taps by zeroing the at least one minimum power tap and continuing iterating; and when the total power figure compares unfavorably to the power threshold, ceasing iterating without modifying the plurality of taps by zeroing the at least one minimum power tap; and producing modified time domain equalizer coefficients.
 2. The method of claim 1, wherein the modified time domain equalizer coefficients have a greater number of zero value taps than do the time domain equalizer coefficients.
 3. The method of claim 1, wherein the power threshold is a percentage of the total power of the plurality of taps.
 4. The method of claim 1, wherein the power figure is based upon a summation of: a power of taps that have been zeroed in prior iterations; and a power of the at least one minimum power tap.
 5. The method of claim 1, wherein the at least one minimum power tap comprises: a head tap; and a tail tap.
 6. The method of claim 1, wherein processing the time domain channel estimate to produce the time domain equalizer coefficients having a plurality of taps comprises: converting the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate; producing frequency domain equalizer coefficients based upon the frequency domain channel estimate; and converting the frequency domain equalizer coefficients to the time domain to produce time domain equalizer coefficients, the time domain equalizer coefficients having a plurality of taps.
 7. The method of claim 6, wherein processing the time domain training symbols to produce a time domain channel estimate, and converting the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate includes: cluster path processing the time domain training symbols; producing the time domain channel estimate based upon the cluster path processed time domain training symbols; and Fast Fourier Transforming the time domain channel estimate to produce the frequency domain channel estimate.
 8. The method of claim 6, wherein producing the frequency domain equalizer coefficients based upon the frequency domain channel estimate comprises performing a Minimum Mean Squared Error (MMSE) algorithm to produce the frequency domain equalizer coefficients.
 9. The method of claim 1, wherein the RF receiver supports wireless operations selected from the group consisting of cellular wireless communications, wireless metropolitan area network communications, wireless local area network communications, and wireless personal area network communications.
 10. A method for producing equalizer coefficients in a Radio Frequency (RF) receiver comprising: receiving a plurality of time domain training symbols; processing the time domain training symbols to produce a time domain channel estimate; processing the time domain channel estimate to produce time domain equalizer coefficients having a plurality of taps, the plurality of taps extending from a head end to a tail end; calculating a power threshold based upon a total power of the plurality of taps; for a plurality of iterations: identifying a minimum power head end tap of the plurality of taps; identifying a minimum power tail end tap of the plurality of taps; selecting a minimum power tap of the identified minimum power head end tap and the identified minimum power tail end tap; determining a total power figure based upon zeroing the selected minimum power tap; when the total power figure compares favorably to the power threshold, modifying the plurality of taps by zeroing the at minimum power tap and continuing iterating; and when the total power figure compares unfavorably to the power threshold, ceasing iterating without modifying the plurality of taps by zeroing the minimum power tap; and producing modified time domain equalizer coefficients.
 11. The method of claim 10, wherein the modified time domain equalizer coefficients have a greater number of zero value taps than do the time domain equalizer coefficients.
 12. The method of claim 10, wherein the power threshold is a percentage of the total power of the plurality of taps.
 13. The method of claim 10, wherein the power figure is based upon a summation of: a power of taps that have been zeroed in prior iterations; and a power of the at least one minimum power tap.
 14. The method of claim 10, wherein processing the time domain channel estimate to produce the time domain equalizer coefficients having a plurality of taps comprises: converting the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate; producing frequency domain equalizer coefficients based upon the frequency domain channel estimate; and converting the frequency domain equalizer coefficients to the time domain to produce time domain equalizer coefficients, the time domain equalizer coefficients having a plurality of taps.
 15. The method of claim 14, wherein processing the time domain training symbols to produce a time domain channel estimate, and converting the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate includes: cluster path processing the time domain training symbols; producing the time domain channel estimate based upon the cluster path processed time domain training symbols; and Fast Fourier Transforming the time domain channel estimate to produce the frequency domain channel estimate.
 16. The method of claim 14, wherein producing the frequency domain equalizer coefficients based upon the frequency domain channel estimate comprises performing a Minimum Mean Squared Error (MMSE) algorithm to produce the frequency domain equalizer coefficients.
 17. The method of claim 10, wherein the RF receiver supports wireless operations selected from the group consisting of cellular wireless communications, wireless metropolitan area network communications, wireless local area network communications, and wireless personal area network communications.
 18. A Radio Frequency (RF) receiver comprising: a RF front end; and a baseband processing module coupled to the RF front end and operable to: receive a plurality of time domain training symbols; process the time domain training symbols to produce a time domain channel estimate; process the time domain channel estimate to produce time domain equalizer coefficients having a plurality of taps; calculate a power threshold based upon a total power of the plurality of taps; for a plurality of iterations: identify at least one minimum power tap; determine a total power figure based upon zeroing the at least one minimum power tap; when the total power figure compares favorably to the power threshold, modify the plurality of taps by zeroing the at least one minimum power tap and continuing iterating; and when the total power figure compares unfavorably to the power threshold, cease iterating without modifying the plurality of taps by zeroing the at least one minimum power tap; and produce modified time domain equalizer coefficients.
 19. The RF receiver of claim 18, wherein the modified time domain equalizer coefficients have a greater number of zero value taps than do the time domain equalizer coefficients.
 20. The RF receiver of claim 18, wherein the power threshold is a percentage of the total power of the plurality of taps.
 21. The RF receiver of claim 18, wherein the power figure is based upon a summation of: a power of taps that have been zeroed in prior iterations; and a power of the at least one minimum power tap.
 22. The RF receiver of claim 18, wherein the at least one minimum power tap comprises: a head tap; and a tail tap.
 23. The RF receiver of claim 18, wherein in processing the time domain channel estimate to produce the time domain equalizer coefficients having a plurality of taps comprises, the baseband processing module is operable to: convert the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate; produce frequency domain equalizer coefficients based upon the frequency domain channel estimate; and convert the frequency domain equalizer coefficients to the time domain to produce time domain equalizer coefficients, the time domain equalizer coefficients having a plurality of taps.
 24. The RF receiver of claim 23, wherein in processing the time domain training symbols to produce a time domain channel estimate and in converting the time domain channel estimate to the frequency domain to produce a frequency domain channel estimate, the baseband processing module is operable to: cluster path process the time domain training symbols; produce the time domain channel estimate based upon the cluster path processed time domain training symbols; and Fast Fourier Transform the time domain channel estimate to produce the frequency domain channel estimate.
 25. The RF receiver of claim 24, wherein in producing the frequency domain equalizer coefficients based upon the frequency domain channel estimate, the baseband processing module is operable to perform a Minimum Mean Squared Error (MMSE) algorithm to produce the frequency domain equalizer coefficients.
 26. The RF receiver of claim 18, wherein the RF receiver is operable to support wireless operations selected from the group consisting of cellular wireless communications, wireless metropolitan area network communications, wireless local area network communications, and wireless personal area network communications. 